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Unlocking Trapped Value in Data | Accenture
Unlocking trapped value in data – accelerating business outcomes with artificial intelligence Actions to bridge the data and AI value gap Enterprises need a holistic data strategy to harness the massive power of artificial intelligence (AI) in the cloud By 2022, 90% of corporate strategies will explicitly cite data as a critical enterprise asset1. The reason why? Fast-growing pressure on enterprises to be more responsive, customer obsessed and market relevant. These capabilities demand real-time decision-making, augmented with AI/machine learning (ML)-based insights. And that requires end-to-end data visibility—free from complexities in the underlying infrastructure. For enterprises still reliant on legacy systems, this can be particularly challenging. Irrespective of challenges, however, the direction is clear. According to IDC estimates, spend on AI platforms and applications by enterprises in Asia Pacific (excluding Japan and China) is set to increase by a five-year CAGR of 30%, rising from US$753.6 million in 2020 to US$2.2 billion in 202 4 2. The need to invest strategically in AI/ML is higher than ever as CXOs move away from an experimental mindset and focus on breaking down data silos to extract full value from their data assets. These technologies are likely to have a significant impact on enterprises’ data strategies—making them increasingly By 2022, 90% of corporate strategies will integrated into CXOs’ growth objectives for the business. explicitly cite data as a critical enterprise asset. This is supported by research for Accenture’s Technology Vision 2021, which shows that the top three technology areas where enterprises are prioritizing - Gartner investment over the next year are cloud (45%), AI (39%) and IoT (35%)3. -
Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 2020 Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library SUNDAY JUDE ONUH National Open University of Nigeria, [email protected] OGOEGBUNAM LOVETH EKWUEME National Open University of Nigeria, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons ONUH, SUNDAY JUDE and EKWUEME, OGOEGBUNAM LOVETH, "Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library" (2020). Library Philosophy and Practice (e-journal). 4650. https://digitalcommons.unl.edu/libphilprac/4650 Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library By Jude Sunday Onuh Enugu Study Centre Library National Open University of Nigeria [email protected] & Loveth Ogoegbunam Ekwueme Department of Library and Information Science National Open University of Nigeria [email protected] Abstract This study dwelt on awareness and utilization of search engines for information retrieval by students of National Open University of Nigeria (NOUN) Enugu Study centre. Descriptive survey research was adopted for the study. Two research questions were drawn from the two purposes that guided the study. The population consists of 5855 undergraduate students of NOUN Enugu Study Centre. A sample size of 293 students was used as 5% of the entire population. -
Search Techniques: Web Based Search MODULE - 5B INFORMATION RETRIEVAL SYSTEM
Search Techniques: Web Based Search MODULE - 5B INFORMATION RETRIEVAL SYSTEM 18 Notes SEARCH TECHNIQUES: WEB BASED SEARCH 18.1 INTRODUCTION Internet has become the biggest repository of information in the world. It can be considered as a global library where variety of information in different languages and formats is stored in digital form. The volume of information on web is enormous and it has become near to impossible to estimate its size. Because of its size and storing mechanism, finding relevant and precise information has become a difficult task. For searching information from this vast repository, we use search engines. There are thousands of search engines available on internet. For example, if you visit http://www.thesearchen ginelist.com/, you will find a classified list of search engines. This list is category-wise and includes all-purpose search engines in various fields like accounting, blogs, books, legal, medical, etc. In Lesson 17, you studied basic concepts of search techniques. Here, you will learn various aspects of searching information on web. 18.2 OBJECTIVES After studying this lesson, you will be able to: explain purpose of simple and advanced search techniques; develop search string using Boolean logic on a given topic; illustrate search string with the help of a diagram; give examples of simple search and advanced search on internet; identify various Search Engines, viz. Google, Yahoo, Google Scholar; LIBRARY AND INFORMATION SCIENCE 367 MODULE - 5B Search Techniques: Web Based Search INFORMATION RETRIEVAL SYSTEM identify Search Engines on internet in different vernacular languages; illustrate search in specific categories, viz. maps, images; and modify search strings to get precise results. -
Ignite Visibility Consulting
Ignite Visibility Consulting Copyright 2013 – Ignite Visibility Page 1 Introduction .................................................................................................................................................. 3 Your Page ...................................................................................................................................................... 3 Branded URL ............................................................................................................................................. 3 Background and Profile Picture ................................................................................................................ 3 Fill out all Text ........................................................................................................................................... 3 Videos............................................................................................................................................................ 4 Theme your Videos Around One Keyword ............................................................................................... 4 Add a Date, Describe a Location, Link to Social Sites and Links to YouTube Video .................................. 5 Get Video Embeds, +1s, Ratings, Views and Comments Gradually .......................................................... 5 Add Annotations to Videos ........................................................................................................................... 5 Make Videos -
Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively
Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively Dion Goh Nanyang Technological University, Singapore Schubert Foo Nanyang Technological University, Singapore INFORMATION SCIENCE REFERENCE Hershey • New York Acquisitions Editor: Kristin Klinger Development Editor: Kristin Roth Senior Managing Editor: Jennifer Neidig Managing Editor: Sara Reed Copy Editor: Maria Boyer Typesetter: Cindy Consonery Cover Design: Lisa Tosheff Printed at: Yurchak Printing Inc. Published in the United States of America by Information Science Reference (an imprint of IGI Global) 701 E. Chocolate Avenue, Suite 200 Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: [email protected] Web site: http://www.igi-global.com/reference and in the United Kingdom by Information Science Reference (an imprint of IGI Global) 3 Henrietta Street Covent Garden London WC2E 8LU Tel: 44 20 7240 0856 Fax: 44 20 7379 0609 Web site: http://www.eurospanonline.com Copyright © 2008 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. Library of Congress Cataloging-in-Publication Data Social information retrieval systems -
Document Selection in a Distributed Search Engine Architecture Ibrahim
Document Selection in a Distributed Search Engine Architecture 1Ibrahim AlShourbaji, 2Samaher Al-Janabi and 3Ahmed Patel 1Computer Network Department, Computer Science and Information System College, Jazan University, Jazan 82822-6649, Saudi Arabia 2Department of Information Networks, Faculty of Information Technology,University of Babylon, Babylon, Hilla 00964, Iraq 3Visiting Professor School of Computing and Information Systems, Faculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames KT1 2EE, United Kingdom Abstract Distributed Search Engine Architecture (DSEA) hosts numerous independent topic-specific search engines and selects a subset of the databases to search within the architecture. The objective of this approach is to reduce the amount of space needed to perform a search by querying only a subset of the total data available. In order to manipulate data across many databases, it is most efficient to identify a smaller subset of databases that would be most likely to return the data of specific interest that can then be examined in greater detail. The selection index has been most commonly used as a method for choosing the most applicable databases as it captures broad information about each database and its indexed documents. Employing this type of database allows the researcher to find information more quickly, not only with less cost, but it also minimizes the potential for biases. This paper investigates the effectiveness of different databases selected within the framework and scope of the distributed search engine architecture. The purpose of the study is to improve the quality of distributed information retrieval. Keywords: web search, distributed search engine, document selection, information retrieval, Collection Retrival Inference network 1. -
Yandex – Russia's Leading Internet Portal and Search Engine
Yandex – Russia’s leading internet portal and search engine Overview Yandex is a leading Internet portal and search engine in Russia with over 6 mil- lion unique visitors per day. The company is focused on the Russian-speaking Yandex offices audience. Its in-depth local knowledge of Russia gives it a clear competitive in Russia and Ukraine. edge in the Russian Internet market. Russia is expected to become one of the largest Internet markets in the world, and Yandex is well positioned to take advantage of future growth. Given the fact that Russia only represents half of the prospective Russian- speaking audience worldwide, Yandex is already actively targeting other re- gions where Russian is a prominent language, including Ukraine and the rest of the CIS. The company offers many services specialized for Russian-speaking audienc- es, including its technologically advanced search engine. Yandex.ru features parallel search which displays results in a variety of data including images, news, maps, local addresses, blogs, merchandise, etc. all on one page. Some of Yandex’s specialized services include blog hosting, e-mail and photo hosting (with free unlimited space), news feeds, a proprietary spam protection sys- tem (Spamooborona), free Web hosting (Narod), maps (including live traffic maps and satellite images of Moscow and several other Russian and Ukrain- ian cities), encyclopedias, dictionaries, comparison shopping system (Yandex. Market), online payment system (Yandex.Money), social networking web site (MoiKrug.ru), free hot spot network Yandex.WiFi and many more. Yandex does a lot to promote the Internet in Russia and in the rest of the CIS. -
Information Technology: Applications DLIS408
Information Technology: Applications DLIS408 Edited by: Jovita Kaur INFORMATION TECHNOLOGY: APPLICATIONS Edited By Jovita Kaur Printed by LAXMI PUBLICATIONS (P) LTD. 113, Golden House, Daryaganj, New Delhi-110002 for Lovely Professional University Phagwara DLP-7765-079-INFO TECHNOLOGY APPLICATION C-4713/012/02 Typeset at: Shubham Composers, Delhi Printed at: Sanjay Printers & Publishers, Delhi SYLLABUS Information Technology: Applications Objectives: • To understand the applications of Information technology in organizations. • To appreciate how information technology can help to improve decision-making in organizations. • To appreciate how information technology is used to integrate the business disciplines. • To introduce students to business cases, so they learn to solve business problems with information technology. • To introduce students to the strategic applications of information technology. • To introduce students to the issues and problems involved in building complex systems and organizing information resources. • To introduce students to the social implications of information technology. • To introduce students to the management of information systems. S. No. Topics Library automation: Planning and implementation, Automation of housekeeping operations – Acquisition, 1. Cataloguing, Circulation, Serials control OPAC Library management. 2. Library software packages: RFID, LIBSYS, SOUL, WINISIS. 3. Databases: Types and generations, salient features of select bibliographic databases. 4. Communication technology: Fundamentals communication media and components. 5. Network media and types: LAN, MAN, WAN, Intranet. 6. Digital, Virtual and Hybrid libraries: Definition and scope. Recent development. 7. Library and Information Networks with special reference to India: DELNET, INFLIBNET, ERNET, NICNET. Internet—based resources and services Browsers, search engines, portals, gateways, electronic journals, mailing 8. list and scholarly discussion lists, bulletin board, computer conference and virtual seminars. -
UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL ESCOLA DE ADMINISTRAÇÃO CURSO DE GRADUAÇÃO EM ADMINISTRAÇÃO Eduardo Gessival
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Lume 5.8 0 UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL ESCOLA DE ADMINISTRAÇÃO CURSO DE GRADUAÇÃO EM ADMINISTRAÇÃO Eduardo Gessival Vieira Mendes ESTRATÉGIAS DE SOBREVIVÊNCIA DO PROBLOGGER DIANTE DA SAZONALIDADE DO MARKETING DIGITAL Porto Alegre 2018 1 Eduardo Gessival Vieira Mendes ESTRATÉGIAS DE SOBREVIVÊNCIA DO PROBLOGGER DIANTE DA SAZONALIDADE DO MARKETING DIGITAL Trabalho de conclusão de curso de graduação apresentado ao Departamento de Ciências Administrativas da Universidade Federal do Rio Grande do Sul, como requisito parcial para a obtenção do grau de Bacharel em Administração. Orientador: Prof. Fernando Dias Lopes Porto Alegre 2018 2 AGRADECIMENTOS Em primeiro lugar, agradeço aos meus pais, por terem me transformado na pessoa que hoje eu sou. Agradeço especialmente aos meus filhos, que me deram as forças necessárias para que eu não perdesse o foco dos objetivos, com a motivação de proporcionar a eles uma vida melhor na posteridade, e ao mesmo tempo servir de exemplo para que busquem a formação em nível superior. Agradeço também aos meus colegas e amigos, e principalmente ao meu sócio e grande amigo Luiz Felipe Kessler e Silva, que sempre me incentivou consideravelmente a ir em busca dos meus sonhos, além de compartilharmos da mesma evolução nas nossas vidas pessoais e profissionais. Por fim, agradeço ao professor Fernando Dias Lopes por apostar no meu tema, bem como por todo o seu apoio, dedicação e paciência ao longo da orientação deste Trabalho de Conclusão de Curso. Não esquecendo de todos os demais professores que foram importantíssimos ao longo da minha formação em Administração de Empresas pela Universidade Federal do Rio Grande do Sul. -
Vermont Wood Works Council
REPORT FOR APR 1, 2021 - APR 30, 2021 (GENERATED 4/30/2021) VERMONT WOOD - SEO & DIGITAL MARKETING REPORT Search Engine Visibility & Competitors NUMBER OF ORGANIC KEYWORDS IN TOP 10 BY DOMAIN verm on twood.com verm on tfu rn itu rem akers.com m adein verm on tm arketplace.c… verm on twoodworkin gsch ool.… 1/2 20 15 10 5 0 May Ju n Ju l Au g Sep Oct Nov Dec Jan Feb Mar Apr ORGANIC SEARCH ENGINE VISIBILITY ORGANIC VISIBILITY INCL. COMPETITORS 10 .0 0 Domain Organic visibilit y Pre vio us p e m adeinverm ontm arketplace.com 6.91 +0.47 7.50 verm ontwood.com 6.43 - 11.60 verm ontfurniturem akers.com 2.50 - 10.60 5.0 0 verm ontwoodworkingschool.com 1.56 = vtfpa.org 0.13 - 12.91 verm ontwoodlands.org 2.50 0.09 +89.7 3 0 .0 0 May Ju n Ju l Au g Sep Oct Nov Dec Jan Feb Mar Apr Google Keyword Ranking Distribution # OF KEYWORDS TRACKED # OF KEYWORDS IN TOP 3 # OF KEYWORDS IN TOP 10 # OF KEYWORDS IN TOP 20 0 8 10 Previou s period Previou s year Previou s period Previou s year Previou s period Previou s year 29 0% - 100% 0% 14% 0% 0% 1 of 8 Google Keyword Rankings ORGANIC POSITION NOTES Ke yword Organic posit ion Posit ion change verm ont wooden toys 4 = T he "Or ganic Posit ion" means t he it em r anking on t he Google woodworkers verm ont 4 = sear ch r esult page. -
ICT Jako Významný Faktor Konkurenceschopnosti
ČESKÁ ZEMĚDĚLSKÁ UNIVERZITA V PRAZE PROVOZNĚ EKONOMICKÁ FAKULTA KATEDRA INFORMAČNÍCH TECHNOLOGIÍ ICT jako významný faktor konkurenceschopnosti disertační práce Autor: Ing. Pavel Šimek Školitel: Doc. PhDr. Ivana Švarcová, CSc. © 2007 Prohlášení Prohlašuji, že disertační práci na téma „ICT jako významný faktor konkurenceschopnosti“ jsem vypracoval samostatně a použil jsem pramenů, které jsou uvedeny v přiloženém seznamu literatury. V Praze dne 21. září 2007 Pavel Šimek Poděkování Rád bych při této příležitosti poděkoval své školitelce Doc. PhDr. Ivaně Švarcové, CSc., za ochotu a odborné vedení, nejen při psaní této práce, ale během celého studia. Dále děkuji Ing. Karlu Jiránkovi a Bc. Ireně Krupičkové za pomoc při praktické implementaci metodického postupu optimalizace dokumentu na několika reálných projektech. Souhrn Souhrn Předkládaná disertační práce se zabývá problematikou optimalizace dokumentu a celých website pro fulltextové vyhledávače a je rozdělena do dvou základních částí. První část se zabývá teoretickou základnou obsahující principy a možnosti služby World Wide Web, principy a možnosti fulltextových vyhledávačů, přehled již známých technik Search Engine Optimization, poslední vývojové trendy v oblasti Search Engine Marketingu a analýzu vlivů různých faktorů na hodnocení relevance WWW stránky vyhledávacím strojem. Ve druhé části disertační práce je splněn její hlavní cíl, tedy navrhnutí metodického a ověřeného postupu pro optimalizaci dokumentu na určitá klíčová slova pro nejpoužívanější fulltextové vyhledávače od úplného začátku, -
Internet Multimedia Information Retrieval Based on Link
Internet Multimedia Information Retrieval based on Link Analysis by Chan Ka Yan Supervised by Prof. Christopher C. Yang A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Philosophy in Division of Systems Engineering and Engineering Management ©The Chinese University of Hong Kong August 2004 The Chinese University of Hong Kong holds the copyright of this thesis. Any person(s) intending to use a part or whole material in the thesis in proposed publications must seek copyright release from the Dean of Graduate School. (m 1 1 2055)11 WWSYSTEM/麥/J ACKNOWLEDGEMENT Acknowledgement I wish to gratefully acknowledge the major contribution made to this paper by Prof. Christopher C. Yang, my supervisor, for providing me with the idea to initiate the project as well as guiding me through the whole process; Prof. Wei Lam and Prof. Jeffrey X. Yu, my internal markers, and my external marker, for giving me invaluable advice during the oral examination to improve the project. I would also like to thank my classmates and friends, Tony in particular, for their help and encouragement shown throughout the production of this paper. Finally, I have to thank my family members for their patience and consideration and for doing my share of the domestic chores while I worked on this paper. i ABSTRACT Abstract Ever since the invention of Internet World Wide Web (WWW), which can be regarded as an electronic library storing billions of information sets with different types of media, enhancing the efficiency in searching on WWW has been becoming the major challenge in the Internet world while different web search engines are the tools for obtaining the necessary materials through various information retrieval algorithms.